MLB Scores and Standings Tuesday, August 20, 1946
This page is missing Negro League games because we do not have that data at this time. More about data coverage
W |
Jim Bagby (5-4) |
L |
Tex Shirley (6-11) |
W |
Ellis Kinder (1-2) |
L |
Mickey Harris (15-6) |
S |
Tom Ferrick (4) |
W |
Hank Borowy (7-7) |
L |
Blix Donnelly (4-4) |
W |
Hiram Bithorn (6-5) |
L |
Charley Schanz (3-4) |
W |
Dave Koslo (13-13) |
L |
Harry Gumbert (5-5) |
W |
Eddie Lopat (9-10) |
L |
Randy Gumpert (8-2) |
W |
Bob Savage (2-11) |
L |
Hal Newhouser (21-6) |
W |
Nick Strincevich (8-10) |
L |
Vic Lombardi (11-7) |
W |
Howie Pollet (15-6) |
L |
Johnny Niggeling (4-6) |
W |
Mickey Haefner (11-8) |
L |
Bob Feller (21-9) |
Standings Up to and Including this Date
AL Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
BOS | 83 | 36 | .697 | -- | 650 | 463 | .650 |
NYY | 67 | 49 | .578 | 14.5 | 510 | 398 | .612 |
DET | 64 | 50 | .561 | 16.5 | 458 | 413 | .547 |
WSH | 58 | 60 | .492 | 24.5 | 468 | 557 | .421 |
CLE | 56 | 62 | .475 | 26.5 | 431 | 471 | .459 |
CHW | 53 | 64 | .453 | 29.0 | 412 | 465 | .445 |
SLB | 50 | 65 | .435 | 31.0 | 456 | 522 | .438 |
PHA | 36 | 81 | .308 | 46.0 | 428 | 524 | .408 |
NAL Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
KCM | 0 | 0 | .000 | -- | 0 | 0 | |
MRS | 0 | 0 | .000 | -- | 0 | 0 | |
BBB | 0 | 0 | .000 | -- | 0 | 0 | |
IC | 0 | 0 | .000 | -- | 0 | 0 | |
CBE | 0 | 0 | .000 | -- | 0 | 0 | |
CAG | 0 | 0 | .000 | -- | 0 | 0 | |
NL Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
BRO | 70 | 44 | .614 | -- | 520 | 439 | .577 |
STL | 69 | 44 | .611 | 0.5 | 510 | 383 | .628 |
CHC | 61 | 52 | .540 | 8.5 | 477 | 425 | .553 |
BSN | 55 | 55 | .500 | 13.0 | 439 | 449 | .490 |
CIN | 51 | 63 | .447 | 19.0 | 393 | 427 | .462 |
NYG | 50 | 63 | .442 | 19.5 | 475 | 507 | .470 |
PHI | 47 | 64 | .423 | 21.5 | 411 | 521 | .393 |
PIT | 45 | 63 | .417 | 22.0 | 387 | 461 | .421 |
NN2 Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
HG | 0 | 0 | .000 | -- | 0 | 0 | |
NBY | 0 | 0 | .000 | -- | 0 | 0 | |
NYC | 0 | 0 | .000 | -- | 0 | 0 | |
PS | 0 | 0 | .000 | -- | 0 | 0 | |
BEG | 0 | 0 | .000 | -- | 0 | 0 | |
NE | 0 | 0 | .000 | -- | 0 | 0 | |
Standings For Games Played After this Date
AL Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
DET | 28 | 12 | .700 | -- | 246 | 154 | .702 |
BOS | 21 | 14 | .600 | 4.5 | 142 | 131 | .537 |
CHW | 21 | 16 | .568 | 5.5 | 150 | 130 | .565 |
NYY | 20 | 18 | .526 | 7.0 | 174 | 149 | .570 |
WSH | 18 | 18 | .500 | 8.0 | 140 | 149 | .472 |
SLB | 16 | 23 | .410 | 11.5 | 165 | 188 | .441 |
PHA | 13 | 24 | .351 | 13.5 | 101 | 156 | .311 |
CLE | 12 | 24 | .333 | 14.0 | 106 | 167 | .303 |
NAL Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
KCM | 0 | 0 | .000 | -- | 0 | 0 | |
MRS | 0 | 0 | .000 | -- | 0 | 0 | |
BBB | 0 | 0 | .000 | -- | 0 | 0 | |
IC | 0 | 0 | .000 | -- | 0 | 0 | |
CBE | 0 | 0 | .000 | -- | 0 | 0 | |
CAG | 0 | 0 | .000 | -- | 0 | 0 | |
NL Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
STL | 29 | 14 | .674 | -- | 202 | 162 | .600 |
BRO | 26 | 16 | .619 | 2.5 | 181 | 131 | .644 |
BSN | 26 | 17 | .605 | 3.0 | 191 | 143 | .629 |
CHC | 21 | 19 | .525 | 6.5 | 149 | 156 | .479 |
PHI | 22 | 21 | .512 | 7.0 | 149 | 184 | .405 |
CIN | 16 | 24 | .400 | 11.5 | 130 | 143 | .457 |
PIT | 18 | 28 | .391 | 12.5 | 165 | 207 | .398 |
NYG | 11 | 30 | .268 | 17.0 | 137 | 178 | .382 |
NN2 Overall Table
Tm |
W |
L |
W-L% |
GB |
RS |
RA |
pythW-L% |
HG | 0 | 0 | .000 | -- | 0 | 0 | |
NBY | 0 | 0 | .000 | -- | 0 | 0 | |
NYC | 0 | 0 | .000 | -- | 0 | 0 | |
PS | 0 | 0 | .000 | -- | 0 | 0 | |
BEG | 0 | 0 | .000 | -- | 0 | 0 | |
NE | 0 | 0 | .000 | -- | 0 | 0 | |
We're Social...for Statheads
Every Sports Reference Social Media Account
Site Last Updated: Tuesday, April 23, 3:08AM
Question, Comment, Feedback, or Correction?
Subscribe to our Free Email Newsletter
Subscribe to Stathead Baseball: Get your first month FREE
Your All-Access Ticket to the Baseball Reference Database
Do you have a sports website? Or write about sports? We have tools and resources that can help you use sports data. Find out more.